code: def get_date_of_run():
      """create date and time for file save uniqueness
      example: 2022-05-07-08:31:12_PM'
      """
      date_of_run = datetime.now().strftime("%Y-%m-%d-%I:%M:%S_%p")
      print(f"--> current date and time of run = {date_of_run}")
      return date_of_run
  
file_path: llama-recipes/src/llama_recipes/model_checkpointing/checkpoint_handler.py
imports: from pathlib import Path
  from datetime import datetime
  import torch
  import time
  from torch.distributed.fsdp import FullyShardedDataParallel, StateDictType, FullStateDictConfig, LocalStateDictConfig
  from torch.distributed._shard.checkpoint import FileSystemReader, FileSystemWriter, save_state_dict, load_state_dict
  from torch.distributed.checkpoint.default_planner import DefaultSavePlanner, DefaultLoadPlanner
  from torch.distributed.fsdp.fully_sharded_data_parallel import StateDictType
  import torch.distributed._shard.checkpoint
  import torch.distributed
label_desc: Use image node_id 1 for calling a global function with example usage: get_date_of_run() and returns: date_of_run